Find research datasets worth reusing

opencc-by-4.0Jan 2023View details →

20230120-MTOA: Carrying fewer tasks does not affect the accuracy of resource-restricted agents but improves the prosperity and equitability of agent societies.

This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment. Experiment Label: 202300120-MTOA Experiment design: Agents specialize through expressing their preferences. Experiment setting: Agents are trained with respect to different tasks and then coordinate upon acting on them. Each time they disagree, one agent adapts its knowledge with respect to the current task. Hypotheses: The higher is the number of carried out tasks, the higher the average accuracy is. Detailed information can be found in index.html or notebook.ipynb. [1] <a href="https://sake.re/20230120-MTOA">https://sake.re/20230120-MTOA</a> [2] <a href="https://gitlab.inria.fr/moex/lazylav/">https://gitlab.inria.fr/moex/lazylav/</a>

opencc-by-4.0Jan 2023View details →

20230110-MTOA: Carrying fewer tasks is detrimental to the accuracy of agents with un-restricted resources.

This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment. Experiment Label: 20230110-MTOA Experiment design: Agents specialize by focusing on specific tasks. Experiment setting: Agents are trained with respect to different tasks and then coordinate upon acting on them. Each time they disagree, one agent adapts its knowledge with respect to the current task. Hypotheses: The higher is the number of carried out tasks, the higher the average accuracy is. Detailed information can be found in index.html or notebook.ipynb. [1] <a href="https://sake.re/20230110-MTOA">https://sake.re/202300110-MTOA</a> [2] <a href="https://gitlab.inria.fr/moex/lazylav/">https://gitlab.inria.fr/moex/lazylav/</a>

opencc-zeroMay 2024View details →

Data from: Thermal habitat fragmentation in stratified lakes induces resource waves that brook charr track across seasons

The spatial configuration of thermal habitats constrains the thermoregulatory performance of ectotherms. Thermal landscapes also vary through time, which is particularly relevant in seasonal environments such as temperate lakes. Indeed, elevated temperatures in the epilimnion of dimictic lakes during summer could substantially reduce the use of this habitat by cold-stenothermic fish during the stratified period. The main objective of this study was to evaluate whether thermal habitat fragmentation in stratified lakes modulates accessibility to resources that brook charr, Salvelinus fontinalis, which is a mobile consumer, can track across seasons. More specifically, we hypothesize that reduced access to the littoral habitat during summer enhances foraging opportunities in this habitat during winter. We used an automatic acoustic telemetry system offering full coverage of the lake to continuously record brook charr locations across seasons, and we estimated zoobenthos abundances in the littoral habitat using image processing and semi-automatic classification. While brook charr concentrate in the metalimnion of the pelagic habitat in summer, most individuals in winter shift to a shallow bay that is unexploited in summer due to thermal constraints. In this habitat, zoobenthos abundance is more than twice as high at the end of the summer compared to littoral habitats close to the thermal refuge in the pelagic habitat. Surprisingly, brook charr showed strong within-lake site fidelity between two consecutive summers, which suggests that spatial memory could be a key driver of seasonal habitat use in this lacustrine population. Overall, our results suggest that thermal barriers create fragmentation between littoral and pelagic habitats that in turn produces resource opportunities that brook charr can track across seasons.

Data for: Love thy neighbour: feral buffalo show greater space use, resource overlap and encounters during the wet season in the Northern Territory

The code, data, and R objects in this repository accompany a paper titled 'Love thy neighbour: feral buffalo show greater space use, resource overlap and encounters during the wet season in the Northern Territory'. In this paper we used spatially explicit movement models to understand buffalo movement and social behaviour to provide decision support to wildlife managers. We used continuous time movement models to produce autocorrelated kernel density estimates of buffalo home ranges and encounter space from 126,567 locations from 17 buffalo GPS tracked from November 2018 to April 2019. We compared the movement, space use and social behaviour of buffalo between the wet and dry season of the Djelk area, when resource availability is vastly different in the wetland areas of the Northern Territory. Results from these models can be used by land holders, traditional owners, and wildlife managers to make evidence-based decisions to optimize buffalo management in respect to disease risk, sustainable harvest, and damage to environmental and cultural assets. The R Markdown, and accompanying data detail the modelling process from data pre-processing, fitting home ranges, comparing home range overalp and estimating social encounter area for the buffalo over three seasonal periods. Estimating home ranges can be computationally taxing and re-creating home range estimates for each buffalo can take several hours depending on the computing power of the user so intermediate outputs have also been included.

opencc-zeroMay 2024View details →

Data coverage, biases, and trends in a global citizen-science resource for monitoring avian diversity

Aim: Understanding and addressing the global biodiversity crisis requires ecological information compiled continuously from across the globe. Data from citizen science initiatives are useful for quantifying species' ecological niches and geographical distributions but can be difficult to apply towards biodiversity monitoring. The presence of fixed geographical locations reduces the opportunistic nature of citizen science data, allowing for more reliable and nuanced trend estimation. The eBird citizen-science programs contains predefined locations whose bird assemblages are sampled across years ('hotspots'). For hotspots to function as a biodiversity monitoring resource, issues related to data coverage, biases, and trends need to be addressed. Location: Global. Methods: We estimated the survey completeness of species richness at 300,500 eBird hotspots during the years 2002 to 2022. We documented sampling biases at eBird hotspot and non-hotspot locations during 2022 based on protection status, temperature, precipitation, and landcover. Results: A total of 10,410 bird species (ca. 96.9% of total) were recorded at hotspots. The number hotspots and the quantity of data and unique participants and quality of species richness estimates has increased worldwide with the Nearctic containing the strongest and most consistent trends. Compared to non-hotspots, hotspots over sampled areas with higher protection status. Hotspots and non-hotspots over sampled warmer and wetter locations in the Antarctic, Nearctic, and Palearctic, and cooler locations in the Afrotropics, Australasia, and the Neotropics. Hotspots and especially non-hotspots over sampled urban areas. Hotspots and non-hotspots under sampled shrublands in Australasia. Hotspots and especially non-hotspots under sampled forests in the Afrotropics, Indomalaya, Neotropics, and Oceania. Main conclusions: Hotspots have captured a large component of the world's avian diversity but have done so inconsistently across space and time. Data quantity and quality are increasing in many regions, but the presence of sampling biases and spatial uncertainty needs to be addressed when applying the data.

Effects of nest-site availability on male-male competition and the foraging costs associated with paternal care in a resource-defense species

Effects of nest-site availability on male-male competition and associated costs of nest site maintenance and paternal care in a resource-defense species This repository contains the .csv files used for the statistical analyses of the study "Effects of nest-site availability on male-male competition and associated costs of nest site maintenance and paternal care in a resource-defense species". In case of questions, please email Laís A. Grossel: <a href="mailto:laisgrossel@gmail.com">laisgrossel@gmail.com</a> Data files and structure We have files for the analysis with field and experimental data. With the file field.csv we tested the probability of males obtaining a nest and receiving eggs from females. In this file, we have the headers: <ul> <li>maleID: identity of males in the field</li> <li>DSW: dorsal scute width, in mm</li> <li>mass: to the nearest 0.001 g</li> <li>nest_possession: with 2 levels: 0 if the male did not possess a nest and 1 if the male possessed a nest</li> <li>nest_opening: in cm</li> <li>parental_status: with 3 levels: 0 if the male did not have a nest, 1: if the male had a nest but no eggs, and 2: if the male had a nest and eggs</li> </ul> With the file experiment_nests.csv we tested predictions related with the nest possession. In this file, we have the headers: <ul> <li>terrariaID: identity of the 14 terraria (containing 4 or 8 nests)</li> <li>exp_group: experimental group, with 2 levels of nests availability: low (4 nests per terraria) and high (8 nests per terraria)</li> <li>nestID: identity of the nests</li> <li>occupation: if the nest was once occupied during the experiment, with 2 levels: 0 if it was never occupied and 1 if it was occupied at least once</li> <li>occupied_scans: number of scans with any male inside the nest</li> <li>vacant_scans: number of scans without any male inside the nest</li> <li>total_scans: total number of observation scans </li> <li>owners: number of different owners of the nest (at least 6 consecutive scans)</li> <li>turnover: if there was at least a substitution of the nest owner without figths, with 2 levels: 0 if there was not any substitution and 1 if there was a substitution</li> <li>turnovers_number: number of substitutions of the nest owner without figths</li> <li>takeover: if there was at least a takeover attempt of the nest after figths, with 2 levels: 0 if there was not any attempt and 1 if there was an attempt</li> <li>takeovers_number: number of takeover attempts of the nest after figths</li> <li>fight: if there was at least a figth inside or close to the nest, with 2 levels: 0 if there was not any figth and 1 if there was a figth</li> <li>fights_number: number of figths inside or close to the nest</li> <li>canibalism: if there was at least a cannibalism event inside the nest, 2 levels: 0 if there was not any cannibalism event and 1 if there was a cannibalism event</li> <li>canibalism_number: number of cannibalism events inside the nest</li> </ul> With the file experiment_males.csv we tested predictions related to the males owners. In this file, we have the headers: <ul> <li>terrariaID: identity of the 14 terraria (containing 4 or 8 nests)</li> <li>exp_group: experimental group, with 2 levels of nests availability: low (4 nests per terraria) and high (8 nests per terraria)</li> <li>maleID: identitity of the males</li> <li>DSW: dorsal scute width, in mm</li> <li>nest_possession: with 2 levels: 0 if the male never possessed a nest during the experiment and 1 if the male possessed a nest at least once (6 consecutive scans)</li> <li>nestID: identity of the nest possessed by the male</li> <li>inside_scans: number of scans with the male inside his nest</li> <li>outside_scans: number of scans with the male outside his nest</li> <li>total_scans: total number of scans in which the male was the owner of the nest</li> <li>takeover: if the male suffered a takeover attempt of his nest, with 2 levels: 0 if the male did not suffer any attempt and 1 if the male suffered an attempt</li> <li>eggs: if the male received eggs from a female, with 2 levels: 0 if the male did not receive eggs and 1 if the male received eggs</li> <li>eggs_number: number of eggs received </li> <li>cannibalism: if the owner male cannibalized the eggs inside the nest, 2 levels: 0 if the male did not cannibalize eggs and 1 if the male cannibalized eggs</li> <li>cannibalism_number: number of cannibalism events by the owner male </li> </ul> With the file fights-takeovers.csv we tested predictions related with nest takeovers. In this file, we have the headers: <ul> <li>terrariaID: identity of the 14 terraria (containing 4 or 8 nests)</li> <li>exp_group: experimental group, with 2 levels of nests availability: low (4 nests per terraria) and high (8 nests per terraria)</li> <li>nestID: identity of the nest possessed by the male</li> <li>focalID: identitity of the focal males (the owner nest)</li> <li>DSW: dorsal scute width, in mm</li> <li>fight: if the male was involved in at least a figth, with 2 levels: 0 if the male was not involved in any figth and 1 if the male was involved in a figth</li> <li>takeover: if the male suffered a takeover attempt of his nest, with 2 levels: 0 if the male did not suffer any attempt and 1 if the male suffered an attempt. Obs: the nest takeover always happens after a fight. If there was a takeover, then there was a fight too.</li> <li>res_focal: result of the figth or takeover for the focal male, with 2 levels: 0 if the focal male did not lose the figth or the nest and 1 if the focal male lost the figth or the nest</li> <li>intruderID: identity of the intruder male involved in the figth or the takeover with the owner male</li> <li>intruder_DSL: dorsal scute width of the intruder male, in mm</li> <li>dyad: identity of the two individuals involved in the figth or takeover (owner male and intruder male)</li> <li>DSW_difference: difference between the dorsal scute width of the dyad (focal male minus intruder male)</li> </ul> With the file foraging.csv we tested a prediction related with males foraging. In this file, we have the headers: <ul> <li>terrariaID: identity of the 14 terraria (containing 4 or 8 nests)</li> <li>exp_group: experimental group, with 2 levels of nests availability: low (4 nests per terraria) and high (8 nests per terraria)</li> <li>nestID: identity of the nest possessed by the male</li> <li>maleID: identitity of the males</li> <li>parental_status: with 2 levels: 0 if the male did not have eggs in the nest and 1: if the male had eggs</li> <li>inside_scans: number of scans with the male inside his nest</li> <li>outside_scans: number of scans with the male outside his nest</li> <li>total_scans: total number of scans in which the male was the owner of the nest</li> </ul>

Experiment resources for "Quality of Binaural Rendering From Baffled Microphone Arrays Evaluated Without an Explicit Reference"

<div>This data set contains the following resources to reproduce the listening experiment and statistical analysis of the referenced manuscript:</div> <div> <ul> <li>The binaural room impulse responses (BRIRs) of all listening conditions presented in the perceptual experiment.</li> <li>The tools to create the listening test infrastructure, including Pure Data (Pd) patches and configuration files for the SoundScape Renderer (SSR) and graphical user interface (GUI).</li> <li>The raw response data as gathered from the experiment subjects.</li> <li>The R and Stan scripts to perform the statistical analysis and generate the resulting plots and tables.</li> </ul> </div> <div>   The archive contains the following components described below. Directory "dependencies/": <ul> <li>Matlab, R, Stan, and Pd functions that are utilized in the code and experimental setup</li> <li>Additional dependencies of available open-source projects may be required for certain code functions. If so, the source and setup process for the necessary dependencies are documented in the file header.</li> </ul> </div> <div> Directory "plots/4_Equalization/": <ul> <li>Plots of all available headphone equalization filters as generated by the following Matlab scripts.</li> </ul> Directory "plots/8_User_study/": <ul> <li>Plots of the raw and analyzed experimental results as generated by the following Matlab and R scripts.</li> </ul> </div> <div> Directory "resources/BRIR_auralization/": <ul> <li>Audio files with static binaural auralizations of all listening conditions presented in the perceptual experiment as generated by the following Matlab scripts.</li> <li>The files in "Kemar_HRTF_sofa_N44_adjusted" do not include a headphone equalization.</li> <li>The files in "Kemar_HRTF_sofa_N44_adjusted+Sennheiser_HD650_lin" include the equalization for the Sennheiser HD650 headphones employed in the listening experiment. The files are identical to the annotated <a href="http://www.ta.chalmers.se/research/audio-technology-group/audio-examples/jaes-2024a/" target="_blank" rel="noopener">listening examples</a> published for the manuscript.</li> </ul> Directory "resources/BRIR_rendered/": <ul> <li>BRIRs and rendering parameters of all listening conditions presented in the perceptual experiment as generated from the associated <a href="../doi/10.5281/zenodo.8206570" target="_blank" rel="noopener">data set</a> and <a href="https://github.com/HaHeho/baffled-arrays-to-binaural/releases/tag/v2024.JAES" target="_blank" rel="noopener">rendering code</a>.</li> <li>Scene configuration files for the SSR with all listening conditions presented in the perceptual experiment as generated from the following Matlab scripts.</li> </ul> Directory "resources/HPCF_KEMAR/": <ul> <li>Impulse responses of equalization filters for various headphones on the G.R.A.S KEMAR acoustic dummy head as measured for this experiment.</li> </ul> Directory "resources/User_study/": <ul> <li>Various resources for the listening experiment.</li> <li>The files in "Exp1_analysis" include intermediate and final statistical analysis results as generated from the following R scripts.</li> <li>"Exp1_config.json" contains the configuration of the study GUI with conditions presented in the listening experiment.</li> <li>"Exp1_Introduction.pdf" contains the instructions presented to the subjects at the start of the listening experiment.</li> <li>"Exp1_Part2_data_strings.xls" contains all subjects' raw perceptual response data gathered from the listening experiment.</li> <li>"Questionnaire.pdf" contains the questionnaire given to the subjects at the end of the listening experiment.</li> </ul> Matlab script "x4_Gather_Headphone_Compensations.m": <ul> <li>Generate plots of measured headphone compensation filters. Furthermore, the generated minimum phase filters and filters to yield a linear phase response from the headphones are extracted as separate WAV files.</li> </ul> </div> <div> Matlab script "x6_Gather_SSR_Configurations.m": <ul> <li>Collect several specified pre-rendered binaural room impulse response sets into an ASD file. The SSR can load this scene to present all gathered configurations in direct comparison with head tracking.</li> </ul> </div> <div> Readme file "x6a_Normalize_SSR_Loudnesses.txt": </div> <div> <div> <div> <ul> <li>Ideally, the rendering script would implement a measure to provide a reliable estimation of the binaural loudness of the rendered configuration. This could be used to normalize all stimuli levels. However, such a measure is currently not available or implemented.</li> <li>Therefore, tuning the stimuli loudness for the user study was performed beforehand by ear. The adjusted playback levels are set in a modified SSR configuration file for the listening experiment.</li> </ul> </div> <div> Matlab script "x6_Gather_SSR_Configurations.m": <ul> <li>Perform convolution of (rendered) binaural room impulse responses with a source audio signal. This is done for a specified selection of static head orientations and a continuous rotation over all horizontal head orientations.</li> <li>The resulting auralizations are published as <a href="http://www.ta.chalmers.se/research/audio-technology-group/audio-examples/jaes-2024a/">supplementary materials</a> to the manuscript.</li> </ul> Shell script "x7_Start_Study_GUI.sh": <ul> <li>Initialize all required components to perform the perceptual user study, including: <ul> <li>SSR to perform the real-time rendering of the BRIRs with head tracking</li> <li>SSR to extract head-tracking data (in case a Polhemus tracker is used)</li> <li>Pd to extract head-tracking data (in case a Supperware tracker is used)</li> <li>Pd to perform real-time convolution to apply headphone compensation</li> <li>Pd to receive OSC messages from the study GUI</li> <li>Pd to trigger audio file playback from received OSC messages</li> <li>Pd to translate OSC messages into FUDI messages for the SSR</li> <li>The GUI to be used by the participants and implement the study procedure</li> </ul> </li> <li>Some static configuration variables can be adjusted, whereas other parameters are chosen during script execution.</li> </ul> Matlab script "x8_Gather_Study_Data.m": <ul> <li>Transform the raw result data from the questionnaire (*.xls) and the study GUI (*.json) into a compact format (*.xls) that can be loaded to plot the raw data and imported by software for the subsequent statistical analysis.</li> <li>Note that this contains the responses from all subjects, whereas responses from the investigators must be excluded from the statistical analysis (which is implemented in the analysis scripts).</li> </ul> Matlab script "x8a_Plot_Study_Data.m": <ul> <li>Generate a set of violin plots to visualize the initial distribution of the raw perceptual data. The data is split by specified attributes and plotted separately for visual inspection.</li> <li>The data may also be transformed into ranks for a first distribution inspection. Note that implementing the ranking method, notably how ties are resolved, may differ from the technique employed in the statistical analysis.</li> <li>Note that this contains the responses from all subjects, whereas responses from the investigators must be excluded from the statistical analysis (which is implemented in the analysis scripts).</li> </ul> R script "x8b_Analyze_Exp1_Data.R": <ul> <li>Perform the statistical analysis by transforming the observed subject ratings into a predicted distribution of ranks using a hierarchical generalized linear regression model.</li> <li>Executing the statistical model may take some time due to the Bayesian framework employing Markov-chain Monte Carlo simulations.</li> <li>Data is exported at various intermediate steps to be loaded and visualized by the following R script.</li> </ul> R markdown script "x8c_Plot_Exp1_Results.Rmd": <ul> <li>Generate various plots and data tables of the observed data and the predicted results to visualize the distribution and influence of different analysis parameters.</li> <li>Some of the resulting plots were used in the manuscript.</li> <li>"x8c_Plot_Exp1_Results.html" conveniently summarizes all plots and data tables generated by "knitting" the R markdown script.</li> </ul> </div> </div> </div>

Resources for BMF CP72: The effectiveness of knowledge management systems in motivation and satisfaction in Vietnamese higher education institutions

Code and data for reproducing the results in "BMF CP72: The effectiveness of knowledge management systems in motivation and satisfaction in Vietnamese higher education institutions" are available here.

Constructing visualization tools and training resources to assess climate impacts on the channel islands national marine sanctuary NetCDF files

The Channel Islands Marine Sanctuary (CINMS) comprises 1,470 square miles surrounding the Northern Channel Islands: Anacapa, Santa Cruz, Santa Rosa, San Miguel, and Santa Barbara, protecting various species and habitats. However, these sensitive habitats are highly susceptible to climate-driven 'shock' events which are associated with extreme values of temperature, pH, or ocean nutrient levels. A particularly devastating example was seen in 2014-16, when extreme temperatures and changes in nutrient conditions off the California coast led to large-scale die-offs of marine organisms. Global climate models are the best tool available to predict how these shocks may respond to climate change. To better understand the drivers and statistics of climate-driven ecosystem shocks, a 'large ensemble' of simulations run with multiple climate models will be used. The objective of this project is to develop a Python-based web application to visualize ecologically significant climate variables near the CINMS. The web application will be used by researchers from the University of California, Santa Barbara (UCSB) to analyze climate model output, and by CINMS staff to develop new indicators of shocks to marine ecosystems.

Data from: Can females differentially allocate resources to offspring sired by different males?

The viviparity-driven conflict hypothesis postulates that the evolution of matrotrophy (postfertilization maternal provisioning) will result in a shift from a pre- to postcopulatory mate choice and thus accelerate the evolution of postcopulatory reproductive isolation. Here, we perform artificial insemination experiments on Heterandria formosa, a matrotrophic poeciliid fish, to probe for evidence of postcopulatory female choice. We established laboratory populations from Wacissa River (WR) and Lake Jackson (LJ). The WR females normally produce larger offspring than the LJ females. We artificially inseminated females with sperm from each population or from both populations simultaneously. When LJ females were inseminated with sperm from WR and LJ males, they allocated fewer resources to WR-sired offspring than when they were inseminated with WR sperm alone. The LJ females carrying developing offspring sired by males from different populations were thus able to discriminate against non-resident males when allocating resources to developing young. The WR females, which normally produce larger offspring than LJ females, did not discriminate among males from different localities. These findings provide insights into the ability of females from one population to exercise a form of postcopulatory mate selection.

opencc-by-nc-sa-4.0Jun 2024View details →

Public tags added to resources in Trove, 2008 to 2024

This dataset contains details of 2,495,958 unique public tags added to 10,403,650 resources in <a href="https://trove.nla.gov.au/">Trove</a> between August 2008 and June 2024. I harvested the data using the Trove API and saved it as a CSV file with the following columns: <ul> <li>`tag` – lower-cased text tag</li> <li>`date` – date the tag was added</li> <li>`zone` – API zone containing the tagged resource</li> <li>`record_id` – the identifier of the tagged resource</li> </ul> I've documented the method used to harvest the tags in <a href="https://github.com/GLAM-Workbench/trove-lists/blob/master/harvest-tags.ipynb">this notebook</a>. Using the `zone` and `record_id` you can find more information about a tagged item. To create urls to the resources in Trove: <ul> <li>for resources in the 'book', 'article', 'picture', 'music', 'map', and 'collection' zones add the `record_id` to `https://trove.nla.gov.au/work/`</li> <li>for resources in the 'newspaper' and 'gazette' zones add the `record_id` to `https://trove.nla.gov.au/article/`</li> <li>for resources in the 'list' zone add the `record_id` to `https://trove.nla.gov.au/list/`</li> </ul> Notes: <ul> <li>Works (such as books) in Trove can have tags attached at either work or version level. This dataset aggregates all tags at the work level, removing any duplicates.</li> <li>A single resource in Trove can appear in multiple zones – for example, a book that includes maps and illustrations might appear in the 'book', 'picture', and 'map' zones. This means that some of the tags will essentially be duplicates – harvested from different zones, but relating to the same resource. Depending on your needs, you might want to remove these duplicates.</li> <li>While most of the tags were added by Trove users, more than 500,000 tags were added by Trove itself in November 2009. I think these tags were automatically generated from related Wikipedia pages. Depending on your needs, you might want to exclude these by limiting the date range or zones.</li> <li>User content added to Trove, including tags, is available for reuse under a CC-BY-NC licence.</li> </ul> See <a href="https://github.com/GLAM-Workbench/trove-lists/blob/master/analyse_tags.ipynb">this notebook</a> for some examples of how you can manipulate, analyse, and visualise the tag data.

opencc-by-4.0Jun 2024View details →

Genetic admixture and evolutionary history of Han Chinese in the Shandong Peninsula inferred from integrative modern and ancient genomic resources

The allele frequency data of 264 individuals from Shandong Province and supplementary table.

Financial, supplies, and human resource preparedness in management of COVID-19 pandemic among dental facilities in Nairobi County, Kenya

The COVID-19 pandemic put a strain on healthcare facilities across the globe. Dental facilities pose the highest COVID-19 transmission risk categories due to the aerosol-generating procedures involved in dental practice. This study aimed to determine financial, supplies, and human resource preparedness in managing the COVID-19 pandemic among Nairobi County, Kenya dental facilities. A cross-sectional study was conducted using a mixed-methods approach among 183 dental facilities in Nairobi County. Data was collected using a KoboCollect questionnaire and analyzed using MS Excel and SPSS version 26. Dental facilities' readiness was assessed using the ReadyScore Criteria. Qualitative data was collected through one-on-one interviews with key informants and analyzed thematically. Readyscore Criteria analysis showed that 39 (21.3%) of the evaluated dental facilities were considered "ready," while 133 (72.7%) and 11 (6%) were considered to have "work to do" and "not ready" for the pandemic. Bivariate analysis showed that the level of facility (p<0.001), presence of other departments (p<0.001), funds sufficiency for COVID-19 emergency response (p=0.001), and clients attended per month (p=0.017) were statistically significant factors associated with pandemic preparedness scores. Regression analysis revealed that the presence of other departments among the dental facilities was a significant predictor of readiness, with a 4.5 times higher likelihood of being ready for a pandemic (aOR 4.591; 1.471–14.327, p=0.009) compared to other facilities. Support from healthcare authorities and capacity-building initiatives are recommended to enhance preparedness and resilience among dental facilities in the face of the COVID-19 pandemic.

opencc-by-4.0Sep 2023View details →

Data supporting "A real-time, scalable, fast and resource-efficient decoder for a quantum computer"

Data includes the circuits (stim_circuits.zip) used to create samples to benchmark CC decoder across different noise rates and code sizes. The resulting accuracy and cycle data is in fpga_accuracy_data.csv. The memory footprint (in KB) of the algorithm for different code sizes is in fpga_memory_data.csv. Weights of syndromes for different noise rates for both phenomenological and circuit-level noise at distance d=23 and d=21 are in noise_rate_sampling_full_d23.csv and noise_rate_sampling_full_d21.csv respectively.

Low-cost, local production of a safe and effective disinfectant for resource-constrained communities

Improved hygiene depends on the accessibility and availability of effective disinfectant solutions. These disinfectant solutions are unavailable to many communities worldwide due to resource limitations, among other constraints. Safe and effective chlorine-based disinfectants can be produced via simple electrolysis of salt water, providing a low-cost and reliable option for on-site, local production of disinfectant solutions to improve sanitation and hygiene. This study reports on a system (herein called "Electro-Clean") that can produce concentrated solutions of hypochlorous acid (HOCl) using readily available, low-cost materials. With just table salt, water, graphite welding rods, and a DC power supply, the Electro-Clean system can safely produce HOCl solutions (~1.5 liters) of up to 0.1% free chlorine (i.e.,1000 ppm) in less than two hours at low potential (5 V DC) and modest current (~5 A). Rigorous testing of free chlorine production and durability of the Electro-Clean system components, described here, has been verified to work in multiple locations around the world, including microbiological tests conducted in India and Mexico to confirm the biocidal efficacy of the Electro-Clean solution as a surface disinfectant. Cost estimates are provided for making HOCl locally with this method in the USA, India, and Mexico. Findings indicate that Electro-Clean is an affordable alternative to off-the-shelf commercial chlorinator systems in terms of first costs (or capital costs), and cost-competitive relative to the unit cost of the disinfectant produced. By minimizing dependence on supply chains and allowing for local production, the Electro-Clean system has the potential to improve public health by addressing the need for disinfectant solutions in resource-constrained communities.

Data from: Competition between mixo- and heterotrophic ciliates under dynamic resource supply

The outcome of species competition strongly depends on the traits of the competitors and associated trade-offs, as well as on environmental variability. Here we investigate the relevance of consumer trait variation for species coexistence in a ciliate consumer – microalgal prey system under fluctuating regimes of resource supply. We focus on consumer competition and feeding traits, and specifically on the consumer's ability to overcome periods of resource limitation by mixotrophy, i. e. the ability of photosynthetic carbon fixation via algal symbionts in addition to phagotrophy. In a 48-day chemostat experiment, we investigated competitive interactions of different heterotrophic and mixotrophic ciliates of the genera Euplotes and Coleps under different resource regimes, providing prey either continuously or in pulses under constant or fluctuating light, entailing periods of resource depletion in fluctuating environments, but overall providing the same amount of prey and light. Although ultimate competition results remained unaffected, population dynamics of mixotrophic and heterotrophic ciliates were significantly altered by resource supply mode. However, the effects differed among species combinations and changed over time. Whether mixotrophs or heterotrophs dominated in competition strongly depended on the genera of the competing species and thus species-specific differences in the minimum resource requirements that are associated with feeding on shared prey, nutrient uptake, light harvesting and access to additional resources such as bacteria. Potential differences in the curvature of the species' resource-dependent growth functions may have further mediated the species-specific responses to the different resource supply modes. Overall, our study demonstrates that genus- or species-specific traits other than related to nutritional mode may override the relevance of acquired phototrophy by heterotrophs in competitive interactions, and that the potential advantage of photosynthetic carbon fixation of symbiont-bearing mixotrophs in competition with pure heterotrophs may differ greatly among different mixotrophs, playing out under different environmental conditions and depending on the specific requirements of the species. Complex trophic interactions determine the outcome of competition, which can only be understood by taking on a multidimensional trait perspective.

Fig 4 in Evaluating the sustainability of fishery resources and fishing gears: Case study of Ngoyè and Elabè, Kribi, South Cameroon

Fig 4: Catch profiles: a) Beach seine; b) bottom-set gillnet

Fig 2 in Evaluating the sustainability of fishery resources and fishing gears: Case study of Ngoyè and Elabè, Kribi, South Cameroon

Fig 2: Distribution of beach seines according to mesh size

Fig 1 in Evaluating the sustainability of fishery resources and fishing gears: Case study of Ngoyè and Elabè, Kribi, South Cameroon

Fig 1: Localisation study area

Fig 3 in Evaluating the sustainability of fishery resources and fishing gears: Case study of Ngoyè and Elabè, Kribi, South Cameroon

Fig 3: Distribution of bottom gillnets according to mesh size